This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis.

An analysis of US mass shootings data (1982 to 2019) provided by Mother Jones. Analysis done using R in RStudio, results published to HTML using RMarkdown, and styled using CSS.

A curated collection of innovative data visualization projects

In this project, I created a Tree Map using D3 with a dataset provided by FreeCodeCamp.

This is about the Financial Loan Statement of a Bank of United Sates. In this I have analyzed total loan application with various types of borrowers on the basis of month, state, term, employment length, purpose, home ownership, good loan and bad loan. This will help us to get more meaningful information from this report and available insights.

This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis.

This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis.

The Census in Color

📊 Clean and prepare a world layoffs dataset with SQL to enable accurate analysis and visualization through effective data cleaning techniques.